Information & communication technologyhttp://hdl.handle.net/10204/454
Fri, 15 Mar 2019 01:31:42 GMT2019-03-15T01:31:42ZLoRa and LoRaWAN testbeds: A reviewhttp://hdl.handle.net/10204/10803
LoRa and LoRaWAN testbeds: A review
Marais, J; Malekian, R; Abu-Mahfouz, Adnan MI
The Internet of Things (IoT) is a fast-growing movement turning devices into always-connected smart devices through the use of communication technologies. This facilitates the creation of smart strategies allowing monitoring and optimization as well as many other new use cases for various sectors. Low Power Wide Area Networks (LPWANs) have enormous potential as they are suited for various IoT applications and each LPWAN technology has certain features, capabilities and limitations. One of these technologies, namely LoRa/LoRaWAN has several promising features and private and public LoRaWANs are increasing worldwide. Similarly, researchers are also starting to study the potential of LoRa and LoRaWANs. This paper examines the work that has already been done and identifies flaws and strengths by performing a comparison of created testbeds. Limitations of LoRaWANs are also identified.
Copyright: 2017 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website
Fri, 01 Sep 2017 00:00:00 GMThttp://hdl.handle.net/10204/108032017-09-01T00:00:00ZSurvey on software-defined wireless sensor networks: Challenges and design requirementshttp://hdl.handle.net/10204/10798
Survey on software-defined wireless sensor networks: Challenges and design requirements
Kobo, Hlabishi I; Abu-Mahfouz, Adnan MI; Hancke, GP
Software defined networking (SDN) brings about innovation, simplicity in network management, and configuration in network computing. Traditional networks often lack the flexibility to bring into effect instant changes because of the rigidity of the network and also the over dependence on proprietary services. SDN decouples the control plane from the data plane, thus moving the control logic from the node to a central controller. A wireless sensor network (WSN) is a great platform for low-rate wireless personal area networks with little resources and short communication ranges. However, as the scale of WSN expands, it faces several challenges, such as network management and heterogeneous-node networks. The SDN approach to WSNs seeks to alleviate most of the challenges and ultimately foster efficiency and sustainability in WSNs. The fusion of these two models gives rise to a new paradigm: Software defined wireless sensor networks (SDWSN). The SDWSN model is also envisioned to play a critical role in the looming Internet of Things paradigm. This paper presents a comprehensive review of the SDWSN literature. Moreover, it delves into some of the challenges facing this paradigm, as well as the major SDWSN design requirements that need to be considered to address these challenges.
Copyright: 2017 IEEE.
Wed, 01 Feb 2017 00:00:00 GMThttp://hdl.handle.net/10204/107982017-02-01T00:00:00ZExploring the dynamics of research collaborations by mapping social networks in invasion sciencehttp://hdl.handle.net/10204/10777
Exploring the dynamics of research collaborations by mapping social networks in invasion science
Abrahams, B; Sitas, Nadia E; Esler, KJ
Moving towards more integrative approaches within the invasion sciences has been recognized as a means of improving linkages between science, policy, and practice. Yet despite the recognition that biological invasions pose complex social-ecological challenges, the invasion literature poorly covers social-ecological or distinctly integrative research. Various initiatives and investments have been made towards building research capacity and conducting more integrative research aimed at improving the management of biological invasions. Using a combination of social network and thematic analysis approaches, and the South African Working for Water (WfW) program as a case study for the management of invasive species, we identify and explore the roles of core authors in shaping collaboration networks and research outputs, based on bibliographic records. We found that research produced under the auspices of WfW is authored by a handful of core authors, conducting primarily ecologically-focused research, with social research significantly underrepresented. Core authors identified in this study play an essential role in mediating relationships between researchers, in addition to potentially controlling access to those seeking to form collaborations, maintaining network cohesion and connectivity across institutional and disciplinary boundaries. Research projects should be designed to span disciplines and institutions if they are to adequately address complex challenges.
Copyright: 2019 Elsevier. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website.
Sat, 01 Jun 2019 00:00:00 GMThttp://hdl.handle.net/10204/107772019-06-01T00:00:00ZExploring data science for public good in South Africa: evaluating factors that lead to successhttp://hdl.handle.net/10204/10773
Exploring data science for public good in South Africa: evaluating factors that lead to success
Marivate, Vukosi N; Moorosi, Nyalleng
In the pursuit of public service, governments have to oversee many complex systems. In recent years, data-driven methodologies have been adopted as tools to oversee and enhance service delivery. In this paper we discuss some of the ways that the government of South Africa, and its agencies, has utilised data tools, how it can improve other services by developing products that address those specific needs as well as how it can begin to develop a more enabling ecosystem for the development of these tools and processes. We discuss the current data landscape from the lens of data policy readiness, human capital development and ethics. The paper is a summary of our observations, our successes, aspirations and challenges as we endeavour to contribute to a more data-driven governance.
Copyright: 2018 publication rights licensed to Association for Computing Machinery.
Tue, 01 May 2018 00:00:00 GMThttp://hdl.handle.net/10204/107732018-05-01T00:00:00Z